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Unsupervised Domain Adaptation for Vision Transformers Based on Prompt Learning

Year: 2024

Type: conference-paper

Source: International Conference on Industrial Artificial Intelligence (IAI)

DOI: 10.1109/iai63275.2024.10730692

Author: Yu Hong

Institutions: Northeastern University, State Key Laboratory of Synthetical Automation for Process Industries, Northeastern University

Language: English

Topic: Domain Adaptation and Few-Shot Learning

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: closed

Funders: National Natural Science Foundation of China, National Key Research and Development Program of China

Awards: G3712584777, G4131671080

OpenAlex ID: W4403920101

FWCI:

Cites: 8

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Related to: 10